Buyer questions, answered
What does an AI answer audit check?
AnswerProof checks claims in AI answers about a local business against supporting evidence and identifies useful next steps. The scope and sampled questions should be agreed for the audit.
How is an AI answer accuracy audit different from AI visibility tracking?
An accuracy audit asks whether sampled answers describe the business correctly; visibility tracking asks whether it appears in a defined set of questions. AnswerProof focuses on claims, evidence and correction priorities. Keep the question, platform, date, answer and cited sources together so an accurate branded answer is not confused with discovery in an unbranded recommendation.
What evidence should a business supply for an AI answer audit?
Supply current official service descriptions, prices and terms where public, contact details, business profiles and the sampled answers you want reviewed. Agree the questions and delivery scope with AnswerProof. Distinguish a sourced factual error from an opinion or a missing recommendation, then prioritise corrections to the public sources a customer can actually verify.
How should I check whether a corrected AI claim stays accurate?
Repeat the recorded question in a fresh conversation and retain the platform, date, actual response and citations. Compare the claim against the corrected public evidence. AnswerProof can help organise sampled claim review, but a later correct answer does not establish that every model, user or conversation has adopted the correction. Keep inaccurate or absent results in the record as well.
What business facts should we prepare for an AnswerProof audit?
Provide current services, locations, official URLs and approved factual references. Identify claims that would materially mislead a customer if an AI answer got them wrong.
How should an AI answer audit record its sample questions?
Keep the exact question, engine, observation time and returned answer together. Distinguish branded recognition from questions a buyer could ask without knowing the business.
What makes an AI citation relevant to a business audit?
Open the cited page and check whether it supports the nearby claim. A link to the domain alone does not establish that the answer used accurate product information.
How should we treat an AI audit request that failed?
Record it as incomplete or unknown with the failure context. A failed request is not evidence that the business was absent from a completed answer.
Can AnswerProof guarantee a correction appears in every AI service?
No. The offering checks sampled claims and identifies useful next steps. Later answers require separate observation on the relevant service and question.
What should be prioritised when an AI answer contains several errors?
Start with material customer facts such as the product's purpose, availability or official destination. Link each proposed correction to a checked public source.
How do we compare two AI answer audits fairly?
Use consistent question sets and record engine, time and sampling differences. Keep changed prompts or incomplete checks visible before interpreting a difference.
Does an AI model recognising VCMP prove a buyer would find it?
A branded recognition question already supplies the name. Evaluate unprompted buyer questions separately to understand the sampled discovery evidence.
What should an AnswerProof audit deliver beyond a score?
Ask for the sampled questions, observed claims, supporting sources and prioritised corrections. Agree the current pilot's scope and delivery arrangements before purchase.
When should AnswerProof findings lead to website edits?
Edit a public page when the checked facts are missing, unclear or outdated. Record the change and repeat the relevant sample later without promising a particular AI response.